Business Models in Emerging Technologies: Data Science, AI, and Blockchain (Paperback or Softback)

This book is a practical guide to two of the most important emerging technologies: data science/AI and blockchain.

The world of technology progresses so quickly that we often don’t realize how far we’ve come. Over the last 20 years, technologies like data science, artificial intelligence, the Internet of Things, and blockchain have transformed the world of business, industry, and society.

These emerging technologies offer a wide range of opportunities. However, they also create new challenges businesses must face, such as developing new business models, and discovering the best adoption strategies.

This book is a practical guide to two of the most important emerging technologies: data science/AI and blockchain. With broad applicability across all sectors, decision-makers would greatly benefit from understanding these fields.

Dr Stylianos (Stelios) Kampakis is a data scientist with more than 10 years of experience. He has worked with decision makers from companies of all sizes: from startups to organizations like, the US Navy, Vodafone and British Land. His work expands multiple sectors including fintech (fraud detection and valuation models), sports analytics, healthtech, general AI, medical statistics, predictive maintenance, and others. He has worked with many different types of technologies, from statistical models to deep learning to blockchain and he has 2 patents pending to his name.

Dr Theodosis (Theo) Mourouzis is a cryptologist and information security professional with strong interests in both academia and industry. He holds a PhD in Information Security with Specialization in Cryptography from University College London. Theo is Managing Partner of Electi Consulting.

Dr. Marialena Zinopoulou is a lecturer for the MSc Strategic Marketing and MSc Management Program at Imperial College Business School, London and a Guest Lecturer for University College London (UCL). She is the CEO of The Digital Marketing Association (DMA), a not-for-profit membership and education organization.

Gerard Cardoso is a data scientist and AI strategist whose mission is to demystify data science for the masses and unlock the value of data in every business. Gerard has spent his career advising businesses on how to think about data strategy.